| Literature DB >> 35530022 |
Lucy Webb1, Xin Shi2,3, Christine Goodair4, Survjit Cheeta5.
Abstract
Introduction: This study aimed to examine drug-related deaths in the UK in which novel psychoactive substances (NPS) are an implicated substance, and to focus on female deaths in comparison with male deaths. While male overdoses dominate epidemiological statistics, there is an increase in female drug-related deaths and a narrowing of the gap between gender mortality rates which is to date unexplained. Method: This study analyzed data from the National Programme for Substance Abuse Deaths (NPSAD) database that records drug-related deaths in the UK from coronial records. A dataset was constructed using parameters to capture all drug-related cases during the period 2007-2017 when NPS were legal and highly available in the UK, in order to capture deaths recorded among both regular and occasional drug users, and to include all cases recorded during that period regardless of NPS status in order to make comparisons. The final dataset comprised 10,159 cases, with 456 NPS-related deaths. Data for NPS and non-NPS were compared, and comparisons were made between cohorts by gender. The dataset also includes coronial narrative notes which allowed a qualitative analysis of NPS female deaths to add contextual explanation.Entities:
Keywords: drug mortality; drug-related death; female mortality; novel psychiatric substances; women
Year: 2022 PMID: 35530022 PMCID: PMC9069007 DOI: 10.3389/fpsyt.2022.890840
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Profile of cases by NPS death status.
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|---|---|---|---|---|
| Gender | Male | 389 (85.3) | 7,313 (75.4) | 5.62 |
| Female | 67 (14.7) | 2,390 (24.6) | ||
| Age | ≤38 | 315 (69.1) | 4,495 (46.4) | 9.34 |
| >38 | 141 (30.9) | 5,201 (53.6) | ||
| Living arrangements | Stable | 393 (95.6) | 7,959 (91.0) | 4.32 |
| Unstable | 18 (4.4) | 790 (9.0) | ||
| Employment | Employed | 198 (48.9) | 2,805 (31.9) | −6.40 |
| Unemployed (inc. retired, student, other) | 207 (51.1) | 5,985 (68.1) | ||
| Place of death (public place vs. home) | Public (including hospital) | 52 (14.9) | 750 (9.7) | −2.66 |
| At home (inc. all domestic settings) | 298 (85.1) | 6,998 (90.3) | ||
| Known drug user (excludes “not known”) | Yes | 233 (74.7) | 5,554 (74.2) | 0.19 |
| No | 79 (25.3) | 1,931 (25.8) |
Excludes missing values.
p < 0.05,
p < 0.01,
p < 0.001.
Whole cohort demographic and outcomes by gender.
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|---|---|---|---|---|
| Age | ≤38 | 995 (40.5) | 3,815 (49.6) | 7.85 |
| >38 | 1,459 (59.5) | 3,885 (50.4) | ||
| Living arrangements | Stable | 2,110 (95.0) | 6,242 (90.0) | −8.4 |
| Unstable | 112 (5.0) | 696 (10.0) | ||
| Employment | Employed | 506 (23.0) | 2,497 (35.7) | −11.7 |
| Unemployed (inc. retired, student, other) | 1,691 (77.0) | 4,501 (64.3) | ||
| Place of death (public place vs. home) | Public (including hospital) | 78 (4.1) | 724 (11.7) | −12.3 |
| At home (inc. all domestic settings) | 1,834 (95.9) | 5,462 (88.3) | ||
| Known drug user (excludes “not known”) | Yes | 1,147 (62.6) | 4,640 (77.8) | 12.0 |
| No | 686 (37.4) | 1,324 (22.2) |
Excludes missing values.
p < 0.01,
p < 0.001.
Whole cohort, substances implicated and prescribed by gender.
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|---|---|---|---|
| Antidepressants implicated | 747 (30.4) | 1,034 (13.4) | −16.54 |
| Antidepressants prescribed | 1,138 (46.3) | 2,008 (26.1) | −17.61 |
| Hypnotics/sedatives implicated | 569 (23.2) | 1,629 (21.2) | −2.07 |
| Hypnotics/sedatives prescribed | 781 (31.8) | 1,561 (20.3) | −10.93 |
| Methadone implicated | 589 (24.0) | 1,696 (22.0) | −1.99 |
| Methadone prescribed | 275 (11.2) | 772 (10.0) | −1.62 (0.88, 0.76–1.02) |
| Diazepam implicated | 379 (15.4) | 1,234 (16.0) | 0.71 (1.05, 0.92–1.19) |
| Diazepam prescribed | 441 (17.9) | 934 (12.1) | −6.76 |
Excludes missing values.
p < 0.05,
p < 0.01.